Face recognition based on deep learning

Konferenz: AIIPCC 2021 - The Second International Conference on Artificial Intelligence, Information Processing and Cloud Computing
26.06.2021 - 28.06.2021 in Hangzhou, China

Tagungsband: AIIPCC 2021

Seiten: 5Sprache: EnglischTyp: PDF

Fu, Yukun; Zhang, Zhaogong (School of Computer Science and Technology, Heilongjiang University, Heilongjiang Province, China)

Nowadays, People's Daily life has become more and more dependent on face recognition technology, people on the face recognition technology research is more and more in-depth, has made great achievements in all directions. In this paper, the face recognition technology based on deep convolutional neural network is studied. Based on the LightCNN network, the LightlyCNN neural network model is proposed to improve the accuracy of facial recognition by improving the LightlyCNN network and streamlining the model. The implementation of the model is based on Python PyTorch framework, and CUDA is used to accelerate the training of the neural network model. The experimental results also prove the effectiveness of the method in this paper, and the recognition rate on the public database CASIC-Webface reaches 98.48%.